2 research outputs found
Search Engine and Recommendation System for the Music Industry built with JinaAI
One of the most intriguing debates regarding a novel task is the development
of search engines and recommendation-based systems in the music industry.
Studies have shown a drastic depression in the search engine fields, due to
concerning factors such as speed, accuracy and the format of data given for
querying. Often people face difficulty in searching for a song solely based on
the title, hence a solution is proposed to complete a search analysis through a
single query input and is matched with the lyrics of the songs present in the
database. Hence it is essential to incorporate cutting-edge technology tools
for developing a user-friendly search engine. Jina AI is an MLOps framework for
building neural search engines that are utilized, in order for the user to
obtain accurate results. Jina AI effectively helps to maintain and enhance the
quality of performance for the search engine for the query given. An effective
search engine and a recommendation system for the music industry, built with
JinaAI
Turtle Score -- Similarity Based Developer Analyzer
In day-to-day life, a highly demanding task for IT companies is to find the
right candidates who fit the companies' culture. This research aims to
comprehend, analyze and automatically produce convincing outcomes to find a
candidate who perfectly fits right in the company. Data is examined and
collected for each employee who works in the IT domain focusing on their
performance measure. This is done based on various different categories which
bring versatility and a wide view of focus. To this data, learner analysis is
done using machine learning algorithms to obtain learner similarity and
developer similarity in order to recruit people with identical working
patterns. It's been proven that the efficiency and capability of a particular
worker go higher when working with a person of a similar personality. Therefore
this will serve as a useful tool for recruiters who aim to recruit people with
high productivity. This is to say that the model designed will render the best
outcome possible with high accuracy and an immaculate recommendation score.Comment: 10 pages, 3 figure